Identification of World War II bone remains found in Ukraine using classical anthropological and mitochondrial DNA results.

Gyula Ágner was a Royal Hungarian First Lieutenant (1st Lt.) during the World War II and died at 30 years old due to a mine shrapnel injury on 27 April 1944 in Luczky, Ukraine. In October 2014, the Hungarian Ministry of Defence exhumated the remains then transported them to Budapest in Hungary. Classical anthropological methods were used to determine morphological gender, height and age at death; furthermore, metrical and pathological characters were also analysed. Determination of maternal lineage was the only solution to examine the possible relationship of the bone fragments. Gyula Ágner did not have direct descendants, thus the living niece of the deceased (his sister's daughter) served as the reference person during the investigations. Hypervariable regions of the mtDNA control region (HV1, HV2 and HV3) were amplified by Qiagen® Multiplex PCR Kit in different monoplex reactions. The results of the anthropological and genetical analysis supported the hypothesis that the bone remains belong to Gyula Ágner.

New complete mitogenome datasets and their characterization of the European catfish (Silurus glanis).

We present new complete mitogenome sequences of Silurus glanis (S. glanis) from 4 samples such as male and female individuals from two countries (Hungary, Czech Republic). The complete mitochondria were determined from genome sequencing by using Illumina MiSeq platform resulting in long, 300 bp. paired-end reads. De novo assembly was performed resulting in one nod (scaffold) covering the total mitochondria in each sample. The mitochondrial genomes were circular, double-stranded molecules of 16,524 bp in length and consisted of 13 protein-coding genes (PCGs), 2 ribosomal RNA genes, 22 transfer RNA genes, and 1 control region. These sequences were deposited in the NCBI GeneBank under the accession numbers (MW796040, MW796041, MW796042, MW796043) and compared with the only available S. glanis mitochondrial genome (NC_014261.1) sequenced by unidentified technology and showed 99% similarity. We found in seq1 82, in seq2 82, seq3 83, seq4 82 nucleotide alterations involving 10 protein-coding genes and meaning 29 amino acid substitutions as well.

Epigenetic Dysregulation of Trophoblastic Gene Expression in Gestational Trophoblastic Disease.

Gestational trophoblastic diseases (GTDs) have not been investigated for their epigenetic marks and consequent transcriptomic changes. Here, we analyzed genome-wide DNA methylation and transcriptome data to reveal the epigenetic basis of disease pathways that may lead to benign or malignant GTDs. RNA-Seq, mRNA microarray, and Human Methylation 450 BeadChip data from complete moles and choriocarcinoma cells were bioinformatically analyzed. Paraffin-embedded tissues from complete moles and control placentas were used for tissue microarray construction, DNMT3B immunostaining and immunoscoring. We found that DNA methylation increases with disease severity in GTDs. Differentially expressed genes are mainly upregulated in moles while predominantly downregulated in choriocarcinoma. DNA methylation principally influences the gene expression of villous trophoblast differentiation-related or predominantly placenta-expressed genes in moles and choriocarcinoma cells. Affected genes in these subsets shared focal adhesion and actin cytoskeleton pathways in moles and choriocarcinoma. In moles, cell cycle and differentiation regulatory pathways, essential for trophoblast/placental development, were enriched. In choriocarcinoma cells, hormone biosynthetic, extracellular matrix-related, hypoxic gene regulatory, and differentiation-related signaling pathways were enriched. In moles, we found slight upregulation of DNMT3B protein, a developmentally important de novo DNA methylase, which is strongly overexpressed in choriocarcinoma cells that may partly be responsible for the large DNA methylation differences. Our findings provide new insights into the shared and disparate molecular pathways of disease in GTDs and may help in designing new diagnostic and therapeutic tools.

Antler development and coupled osteoporosis in the skeleton of red deer Cervus elaphus: expression dynamics for regulatory and effector genes.

Antlers of deer display the fastest and most robust bone development in the animal kingdom. Deposition of the minerals in the cartilage preceding ossification is a specific feature of the developing antler. We have cloned 28 genes which are upregulated in the cartilaginous section (called mineralized cartilage) of the developing ("velvet") antler of red deer stags, compared to their levels in the fetal cartilage. Fifteen of these genes were further characterized by their expression pattern along the tissue zones (i.e., antler mesenchyme, precartilage, cartilage, bone), and by in situ hybridization of the gene activities at the cellular level. Expression dynamics of genes col1A1, col1A2, col3A1, ibsp, mgp, sparc, runx2, and osteocalcin were monitored and compared in the ossified part of the velvet antler and in the skeleton (in ribs and vertebrae). Expression levels of these genes in the ossified part of the velvet antler exceeded the skeletal levels 10-30-fold or more. Gene expression and comparative sequence analyses of cDNAs and the cognate 5' cis-regulatory regions in deer, cattle, and human suggested that the genes runx2 and osx have a master regulatory role. GC-MS metabolite analyses of glucose, phosphate, ethanolamine-phosphate, and hydroxyproline utilizations confirmed the high activity of mineralization genes in governing the flow of the minerals from the skeleton to the antler bone. Gene expression patterns and quantitative metabolite data for the robust bone development in the antler are discussed in an integrated manner. We also discuss the potential implication of our findings on the deer genes in human osteoporosis research.

Identifying novel genes involved in both deer physiological and human pathological osteoporosis.

Osteoporosis attacks 10% of the population worldwide. Humans or even the model animals of the disease cannot recover from porous bone. Regeneration in skeletal elements is the unique feature of our newly investigated osteoporosis model, the red deer (Cervus elaphus) stag. Cyclic physiological osteoporosis is a consequence of the annual antler cycle. This phenomenon raises the possibility to identify genes involved in the regulation of bone mineral density on the basis of comparative genomics between deer and human. We compare gene expression activity of osteoporotic and regenerating rib bone samples versus autumn dwell control in red deer by microarray hybridization. Identified genes were tested on human femoral bone tissue from non-osteoporotic controls and patients affected with age-related osteoporosis. Expression data were evaluated by Principal Components Analysis and Canonical Variates Analysis. Separation of patients into a normal and an affected group based on ten formerly known osteoporosis reference genes was significantly improved by expanding the data with newly identified genes. These genes include IGSF4, FABP3, FABP4, FKBP2, TIMP2, TMSB4X, TRIB, and members of the Wnt signaling. This study supports that extensive comparative genomic analyses, here deer and human, provide a novel approach to identify new targets for human diagnostics and therapy.

Statistical and population genetics issues of two Hungarian datasets from the aspect of DNA evidence interpretation.

When the DNA profile from a crime-scene matches that of a suspect, the weight of DNA evidence depends on the unbiased estimation of the match probability of the profiles. For this reason, it is required to establish and expand the databases that reflect the actual allele frequencies in the population applied. 21,473 complete DNA profiles from Databank samples were used to establish the allele frequency database to represent the population of Hungarian suspects. We used fifteen STR loci (PowerPlex ESI16) including five, new ESS loci. The aim was to calculate the statistical, forensic efficiency parameters for the Databank samples and compare the newly detected data to the earlier report. The population substructure caused by relatedness may influence the frequency of profiles estimated. As our Databank profiles were considered non-random samples, possible relationships between the suspects can be assumed. Therefore, population inbreeding effect was estimated using the FIS calculation. The overall inbreeding parameter was found to be 0.0106. Furthermore, we tested the impact of the two allele frequency datasets on 101 randomly chosen STR profiles, including full and partial profiles. The 95% confidence interval estimates for the profile frequencies (pM) resulted in a tighter range when we used the new dataset compared to the previously published ones. We found that the FIS had less effect on frequency values in the 21,473 samples than the application of minimum allele frequency. No genetic substructure was detected by STRUCTURE analysis. Due to the low level of inbreeding effect and the high number of samples, the new dataset provides unbiased and precise estimates of LR for statistical interpretation of forensic casework and allows us to use lower allele frequencies.

Population Genetic Patterns of Threatened European Mudminnow (Umbra krameri Walbaum, 1792) in a Fragmented Landscape: Implications for Conservation Management.

The European mudminnow (Umbra krameri) is a Middle Danubian endemic fish species, which is characterised by isolated populations living mainly in artificial habitats in the centre of its range, in the Carpathian Basin. For their long term preservation, reliable information is needed about the structure of stocks and the level of isolation. The recent distribution pattern, and the population genetic structure within and among regions were investigated to designate the Evolutionary Significant, Conservation and Management Units (ESUs, CUs, MUs) and to explore the conservation biological value of the shrinking populations. In total, eight microsatellite loci were studied in 404 specimens originating from eight regions. The results revealed a pronounced population structure, where strictly limited gene flow was detected among regions, as well as various strengths of connections within regions. Following the results of hierarchical structure analyses, two ESUs were supposed in the Carpathian Basin, corresponding to the Danube and Tisza catchments. Our results recommend designating the borders of CUs in an 80-90km range and 16 clusters should be set up as MUs for the 33 investigated populations. How these genetic findings can be used to better allocate conservation resources for the long term maintenance of the metapopulation structure of this threathened endemic fish is discussed.

Constructing STR multiplexes for individual identification of Hungarian red deer.

Red deer is the most valuable game of the fauna in Hungary, and there is a strong need for genetic identification of individuals. For this purpose, 10 tetranucleotide STR markers were developed and amplified in two 5-plex systems. The study presented here includes the flanking region sequence analysis and the allele nomenclature of the 10 loci as well as the PCR optimization of the DeerPlex I and II. LD pairwise tests and cross-species similarity analyses showed the 10 loci to be independently inherited. Considerable levels of genetic differences between two subpopulations were recorded, and F(ST) was 0.034 using AMOVA. The average probability of identity (PI(ave)) was at the value of 2.6736 × 10(-15). This low value for PI(ave) nearly eliminates false identification. An illegal hunting case solved by DeerPlex is described herein. The calculated likelihood ratio (LR) illustrates the potential of the 10 red deer microsatellite markers for forensic investigations.